Ok, finally got it working. The trick was to use plt.setp to manually rotate the tick labels. Using fig.autofmt_xdate() did not work as it does some unexpected things when you have multiple subplots in your figure. Here’s the working code with its output: for i, d in enumerate([360, 30, 7, 1]): ax = axes.flatten()[i] earlycut … Read more
You could try library(ggplot2) qplot(uptake, data = CO2) + xlab(bquote(‘Assimilation (‘*mu~ ‘mol’ ~CO[2]~ m^-2~s^-1*’)’))
Here is another way: from matplotlib.ticker import MaxNLocator ax = plt.figure().gca() ax.yaxis.set_major_locator(MaxNLocator(integer=True))
The following function allows the user to request that every nth element nth of a vector x either be (1) replaced with a empty character placeholder (empty = TRUE; default) or (2) omitted from the vector (empty = FALSE). Additionally, it provides the option of requesting the inverse (inverse = TRUE; not default) of the … Read more
You can set the fontsize directly in the call to set_xticklabels and set_yticklabels (as noted in previous answers). This will only affect one Axes at a time. ax.set_xticklabels(x_ticks, rotation=0, fontsize=8) ax.set_yticklabels(y_ticks, rotation=0, fontsize=8) Note this method should only be used if you are fixing the positions of the ticks first (e.g. using ax.set_xticks). If you … Read more
This is really easy to do if you use the matplotlib.ticker.FormatStrFormatter as opposed to the LogFormatter. The following code will label everything with the format ‘%.2e’: import numpy as np import matplotlib.pyplot as plt import matplotlib.ticker as mtick fig = plt.figure() ax = fig.add_subplot(111) x = np.linspace(0, 300, 20) y = np.linspace(0,300, 20) y = … Read more
You may be able get all of the labels to appear if you use las=2 inside the plot() call. This argument and the others mentioned below are described in ?par which sets the graphical parameters for plotting devices. That rotates the text 90 degrees. Otherwise, you will need to use xaxt=”n” (to suppress ticks and … Read more
use optional parameter las=2 . barplot(mytable,main=”Car makes”,ylab=”Freqency”,xlab=”make”,las=2)
Not sure if it’s what you mean, but you can do this: plot(1:10, xaxt = “n”, xlab=’Some Letters’) axis(1, at=1:10, labels=letters[1:10]) which then gives you the graph:
You can set the horizontal alignment of ticklabels, see the example below. If you imagine a rectangular box around the rotated label, which side of the rectangle do you want to be aligned with the tickpoint? Given your description, you want: ha=”right” n=5 x = np.arange(n) y = np.sin(np.linspace(-3,3,n)) xlabels = [‘Ticklabel %i’ % i … Read more